A novel adaptive noise filtering method for SAR images

2009 ◽  
Author(s):  
Weibin Li ◽  
Mingyi He
Keyword(s):  
Noise Filtering ◽  
Sar Images ◽  
Filtering Method ◽  
Adaptive Noise

A Biophysical Model of Adaptive Noise Filtering in the Shark Brain

2014 ◽  
Vol 76 (2) ◽  
pp. 455-475 ◽  
Author(s):  
Peter Bratby ◽  
John Montgomery ◽  
James Sneyd
Keyword(s):  
Biophysical Model ◽  
Noise Filtering ◽  
Adaptive Noise

scholarly journals A Speckle Filtering Method Based on Hypothesis Testing for Time-Series SAR Images

2018 ◽  
Vol 10 (9) ◽  
pp. 1383 ◽  
Author(s):  
Jili Yuan ◽  
Xiaolei Lv ◽  
Rui Li
Keyword(s):  
Time Series ◽  
Hypothesis Testing ◽  
Speckle Noise ◽  
Sar Images ◽  
Suppression Effect ◽  
Filtering Method ◽  
Information Preservation ◽  
Spatiotemporal Information ◽  
Test Algorithm ◽  
Filtering Effect

To improve the suppression effect for the speckle noise of synthetic aperture radar (SAR) images and the ability of spatiotemporal information preservation of the filtered image without losing the spatial resolution, a novel multitemporal filtering method based on hypothesis testing is proposed in this paper. A framework of a two-step similarity measure strategy is adopted to further enhance the filtering results. Firstly, bi-date analysis using a two-sample Kolmogorov-Smirnov (KS) test is conducted in step 1 to extract homogeneous patches for 3-D patch stacks generation. Subsequently, the similarity between patch stacks is compared by a sliding time-series likelihood ratio (STSLR) test algorithm in step 2, which utilizes the multi-dimensional data structure of the stacks to improve the accuracy of unchanged pixels detection. Finally, the filtered values are obtained by averaging the similar pixels in time-series. The experimental results and analysis of two multitemporal datasets acquired by TerraSAR-X show that the proposed method outperforms the other typical methods with regard to the overall filtering effect, especially in terms of the consistency between the filtered images and the original ones. Furthermore, the performance of the proposed method is also discussed by analyzing the results from step 1 and step 2.

An FIR-Embedded Noise Filtering Method for $\Delta \Sigma$ Fractional-N PLL Clock Generators

2009 ◽  
Vol 44 (9) ◽  
pp. 2426-2436 ◽  
Author(s):  
Xueyi Yu ◽  
Yuanfeng Sun ◽  
Woogeun Rhee ◽  
Zhihua Wang
Keyword(s):  
Noise Filtering ◽  
Filtering Method ◽  
Delta Sigma ◽  
Clock Generators

Noise filtering of interferometric SAR images

1994 ◽  
Author(s):  
Jong-Sen Lee ◽  
Thomas L. Ainsworth ◽  
Mitchell R. Grunes ◽  
Raymond M. Goldstein
Keyword(s):  
Noise Filtering ◽  
Sar Images ◽  
Interferometric Sar
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